RT Journal Article
SR Electronic
T1 Temporal stability of asthma phenotypes identified by a clustering approach: An ECRHS-SAPALDIA-EGEA study
JF European Respiratory Journal
JO Eur Respir J
FD European Respiratory Society
SP 1373
VO 40
IS Suppl 56
A1 Valerie Siroux
A1 Anne Boudier
A1 Ivan Curjuric
A1 Xavier Basagagna
A1 Hana Hazgui
A1 Josep Maria Anto
A1 Jean Bousquet
A1 Pierre Olivier Bridevaux
A1 Judith Garcia-Aymerich
A1 Joachim Heinrich
A1 Christer Janson
A1 Nino Künzli
A1 Roberto de Marco
A1 Thierry Rochat
A1 Christian Schindler
A1 Raphaelle Varraso
A1 Isabelle Pin
A1 Nicole Probst-Hensch
A1 Jordi Sunyer
A1 Francine Kauffmann
YR 2012
UL http://erj.ersjournals.com/content/40/Suppl_56/1373.abstract
AB Background: The temporal stability over time of asthma phenotypes identified using clustering methods has never been addressed.Aims: To assess whether repeated Latent Class Analysis (LCA) applied in asthma a decade apart leads to the identification of comparable phenotypes, and to characterize the transition between them.Methods: The LCA was applied twice, 10 years apart, on data from 2399 asthmatic adults recruited in 3 epidemiological surveys using standardized protocols: ECRHS (European Community Respiratory Health Survey, n=1450), SAPALDIA (Swiss cohort study on air pollution and lung disease, n=589) and EGEA (Epidemiological study on Genetics and Environment of Asthma, n=360). 14 variables covering personal characteristics, asthma symptoms, treatment, age of asthma onset, allergic characteristics, lung function and bronchial hyperresponsiveness were considered at both time points.Results: A model with four latent classes was selected at each time point (prevalence between 14%-36%, mean posterior probability 84%). Two of them were predominantly composed of subjects with active asthma, mainly differing by allergic status and age at onset. Two others were predominantly composed of subjects with inactive-mild asthma, mainly differentiated by allergic status. Most of the population (60%) was assigned to the same asthma phenotype at both time points, although stability varied between phenotypes (from 47% for “active adult-onset asthma” to 68% for “inactive-mild non-allergic asthma”).Conclusion: Asthma phenotypes identified by a clustering approach 10 years apart were comparable. Further analyses will be conducted using Latent transition analysis.